CpG site-specific methylation as epi-biomarkers for the prediction of health risk in PAHs-exposed populations

Environmental insults can lead to alteration in DNA methylation of specific genes. To address the role of altered DNA methylation in prediction of polycyclic aromatic hydrocarbons (PAHs) exposure-induced genetic damage, we recruited two populations, including diesel engine exhausts (low-level) and c...

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Published inJournal of hazardous materials Vol. 431; p. 128538
Main Authors Ye, Lizhu, He, Zhini, Li, Daochuan, Chen, Liping, Chen, Shen, Guo, Ping, Yu, Dianke, Ma, Lu, Niu, Yong, Duan, Huawei, Xing, Xiumei, Xiao, Yongmei, Zeng, Xiaowen, Wang, Qing, Dong, Guanghui, Aschner, Michael, Zheng, Yuxin, Chen, Wen
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 05.06.2022
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ISSN0304-3894
1873-3336
1873-3336
DOI10.1016/j.jhazmat.2022.128538

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Summary:Environmental insults can lead to alteration in DNA methylation of specific genes. To address the role of altered DNA methylation in prediction of polycyclic aromatic hydrocarbons (PAHs) exposure-induced genetic damage, we recruited two populations, including diesel engine exhausts (low-level) and coke oven emissions (high-level) exposed subjects. The positive correlation was observed between the internal exposure marker (1-hydroxypyrene) and the extents of DNA damage (P < 0.05). The methylation of representative genes, including TRIM36, RASSF1a, and MGMT in peripheral blood lymphocytes was quantitatively examined by bisulfite-pyrosequencing assay. The DNA methylation of these three genes in response to PAHs exposure were changed in a CpG-site-specific manner. The identified hot CpG site-specific methylation of three genes exhibited higher predictive power for DNA damage than the respective single genes in both populations. Furthermore, the dose-response relationship analysis revealed a nonlinear U-shape curve of TRIM36 or RASSF1a methylation in combined population, which led to determination of the threshold of health risk. Furthermore, we established a prediction model for genetic damage based on the unidirectional-alteration MGMT methylation levels. In conclusion, this study provides new insight into the application of multiple epi-biomarkers for health risk assessment upon PAHs exposure. [Display omitted]
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ISSN:0304-3894
1873-3336
1873-3336
DOI:10.1016/j.jhazmat.2022.128538